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I'v been thinking a lot about Marshall McLuhan and his 4 laws of media. Specifically, the one that states that all new forms of media cause something to be retrieved from the past. What will ChatGPT and AI revive and retrieve? I put some more thoughts in my blog. Would love to hear your thoughts on it.
https://bobhutchins.substack.com/p/what-media-format-will-chatgpt-and
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1D: MusicLM, VALL-E
2D: Stable Diffusion, DALL-E, MidJourney
3D (or 2+1D): Imagen-video, Phenaki
3D: Magic3D, DreamFusion, Point-E
4D (or 3+1D): Make-A-Video-3D
[Searchcolab] What’s next? 🤔
https://reddit.com/link/10p6vw9/video/gqbnrsaxh7fa1/player
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https://ainewsbase.com/google-musiclm-copyright-issues-not-releasing/
The samples they do show might just sound weird because of the stored file or whatever but the sound definitely sounds kinda weird.
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https://peltarion.com/blog/data-science/towards-a-token-free-future-in-nlp
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I’m an ML Engineer at Hive AI and I’ve been working on a ChatGPT Detector.
Here is a free demo we have up: https://hivemoderation.com/ai-generated-content-detection
From our benchmarks it’s significantly better than similar solutions like GPTZero and OpenAI’s GPT2 Output Detector. On our internal datasets, we’re seeing balanced accuracies of >99% for our own model compared to around 60% for GPTZero and 84% for OpenAI’s GPT2 Detector.
Feel free to try it out and let us know if you have any feedback!
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In order to improve my talking skills, I am doing a little series on how to setup Stable Diffusion on Paperspace, and I am astounded how much time it takes to do the audio editing. Well, part of the reason is that I've only been doing this for 3 days and my process is very inefficient, but it feels that in the current time, neural nets should be able to do things like remove uhms, lip smacking and breath intakes.
I've looked around, and this post from 9 years ago says the only choice is to edit it by hand. Is that still true?
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From the given link!, I gather that it is a large-scale Transformer trained to use digital tools like a web browser. Right now, it’s hooked up to a Chrome extension which allows it to observe what’s happening in the browser and take certain actions, like clicking, typing, and scrolling, etc.
I am interested in knowing the broad steps involved in building something like this.
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https://github.com/tysam-code/hlb-CIFAR10
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During the 1970s, Ethernet pioneer and 3Com Internet equipment company founder Bob Metcalfe was working on something called the “Data Reconfiguration Service” for the early Internet. “It was an effort to write a special purpose programming language to convert data formats, Metcalfe said during a 2021 OriginTrail.io panel session. “And the goal was so that… Read More »Enabling contextual computing in today’s enterprise information fabrics
The post Enabling contextual computing in today’s enterprise information fabrics appeared first on Data Science Central.
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Amazon SageMaker provides a suite of built-in algorithms, pre-trained models, and pre-built solution templates to help data scientists and machine learning (ML) practitioners get started on training and deploying ML models quickly. You can use these algorithms and models for both supervised and unsupervised learning. They can process various types of input data, including tabular, […]
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Amazon Forecast is a fully managed service that uses machine learning (ML) to generate highly accurate forecasts, without requiring any prior ML experience. Forecast is applicable in a wide variety of use cases, including estimating supply and demand for inventory management, travel demand forecasting, workforce planning, and computing cloud infrastructure usage. You can use Forecast […]
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Things the video covers:
What is intelligence? What is A.I.? What is the best currently available and what are the benefits? How does it work? What are the downsides? The increasing speed of human technological advancement Why A.I. actually terrifies me! (Some scenarios)
I hope you enjoy it!
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https://youtu.be/Y6gXZ61NnOE
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I recently created a website called https://cashwithai.com that is dedicated to helping people learn how to make money using AI like ChatGPT. The website offers a variety of resources, including a QuickStart guide, case studies, and tips and tricks for monetizing AI-generated content.
Additionally, I'm offering free 1-on-1 consultations to anyone who is looking for personalized advice and guidance on how to make money with AI. I'm not running ads or charging; I run purely off donations.
Let me know if you have any questions!
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Hi everyone, I made a JupyterLab extension to use OpenAI’s GPT models for code and text completion on your notebook cells.
This extension passes your current notebook cell to the GPT API and completes your code/text for you. You can customize the GPT parameters in the Advanced Settings menu.
I made this extension when I couldn't find any Copilot/Codex extensions for JupyterLab. It doesn't make sense that ML folks don't have an easy way to use AI generated code in their own tools. VS Code does allow you use Copilot, but I've gotten used to Jupyter and a lot of ML/DS folks I know still prefer using Jupyter over VS code.
Installation
pip install gpt_jupyterlab
GitHub Repo: https://github.com/henshinger/gpt-jupyterlab/
Demo
GPT JupyterLab Demo
Note: You will need your own OpenAI API Key to use this extension.
Would love to get your feedback!
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I am building an open-source ML observability and refinement toolkit which recently got investment from YCombinator.
The tool helps ML practitioners to: 1. Understand how their models are performing in production 2. Catch edge-cases and outliers to help them refine their models 3. Allow them to customise the tool according to their needs (hence, open-source) 4. Bring data-security at the forefront (hence, self hosted)
You can check out the project https://github.com/uptrain-ai/uptrain and would love to hear feedback from the community
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https://pypi.org/project/rwkvstic/
Currently supports tensorflow, pytorch, jax
Also has support for tensor streaming, 8bit jit-quant and multi-gpu.
Run RWKV 7B on 8GB of vram or 14B on 16GB of vram.
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Bright Eye: mobile AI app that generates art, code, poems, essays, short stories, answers questions, and more!
Hey guys, I’m the cofounder of a tech startup focused on providing free AI services. We’re one of the first mobile multipurpose AI apps.
We’ve developed a pretty cool app that offers AI services like image generation, code generation, image captioning, and more for free. We’re sort of like a Swiss Army knife of generative and analytical AI.
We’ve released a new feature called AAIA(Ask AI Anything), which is capable of answering all types of questions, even requests to generate literature, storylines, answer questions and more, (think of chatgpt).
We’d love to have some people try it out, give us feedback, and keep in touch with us.
https://apps.apple.com/us/app/bright-eye/id1593932475
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https://www.youtube.com/watch?v=Vw-t826JcDQ
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Specifically this one:
https://www.youtube.com/watch?v=MFv7apjatwM&ab_channel=Lux-Topic
If there is no current AI that is able to listen to a song and write down the lyrics accurately, then I provide this idea freely.
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University of Florida - Warrington College of Business's Mo Wang offers advice for the future of work.
Full Story: https://explore.research.ufl.edu/the-future-of-work.html#ai-hiring
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I'm looking into projects which augment the RLHF training approach of chatGPT with explicit rules, such as in https://paperswithcode.com/paper/constitutional-ai-harmlessness-from-ai.
Ideally there would be both rules and priority levels between the rules, similarly to the Asimov laws of robotics.
The Open-Assistant project (https://github.com/LAION-AI/Open-Assistant) captures the spirit, but it is looking to replicate chatGPT at the moment.
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Find the release notes here:
https://github.com/nnaisense/evotorch/releases/tag/v0.4.0
A big highlight is how fast these implementations are! I genuinely believe GPU-acceleration is the future of Evolutionary algorithms, and EvoTorch and its integration into the PyTorch ecosystem is a fantastic enabler for this.
To demonstrate the raw speed provided by the new release, I compared EvoTorch's CMA-ES implementation to that provided by the popular pycma package on the 80-dimensional Rastrigin problem and tracked the run-time:
Performance was measured over 50 runs on the 80-dimensional Rastrigin problem
The crazy thing to note is that when we switch to GPU (Tesla V100), we can efficiently run CMA-ES with population sizes going into 100k+!
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Could someone please help with this - https://ai.stackexchange.com/questions/38894/are-there-papers-that-do-an-empirical-investigation-on-drl-hyperparameters
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This post is co-authored by Tristan Miller from Best Egg. Best Egg is a leading financial confidence platform that provides lending products and resources focused on helping people feel more confident as they manage their everyday finances. Since March 2014, Best Egg has delivered $22 billion in consumer personal loans with strong credit performance, welcomed […]
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GeForce NOW RTX 4080 SuperPODs are rolling out now, bringing RTX 4080-class performance and features to Ultimate members — including support for NVIDIA Ada Lovelace GPU architecture technologies like NVIDIA DLSS 3. This GFN Thursday brings updates to some of GeForce NOW’s hottest games that take advantage of these amazing technologies, all from the cloud. Read article >
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Hello everyone,
I am a student in AP Research. For my project, I am conducting a survey to analyze the connection between science fiction and technology (specifically Artificial Intelligence). This survey (linked) asks a few questions about your knowledge of Sci-fi, Artificial Intelligence, and the connection between the two. It should not take more than 10 minutes of your time.
If you are interested, the link to the form is below:
https://docs.google.com/forms/d/e/1FAIpQLScY_VaNI-CEtTiJiLHgYCCguEZ7m9DUdQoxvFTjXFFLOGu2KA/viewform
If you have additional questions, my email is in the linked google form. Thank you for your participation, it is deeply appreciated!
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In this video I explain about INSTRUCTOR, an instruction-finetuned text embedding model that can generate text embeddings tailored to any task (e.g., classification, retrieval, clustering, text evaluation, etc.) and domains (e.g., science, finance, etc.) by simply providing the task instruction, without any finetuning. Instructor achieves sota on 70 diverse embedding tasks! I also show a google collab demo of instructor
https://youtu.be/vg38cq3KJ6M
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In a recent article on Autonomous Intelligent Systems (AIS) [1], Ajit Joakar described various features and characteristics of such systems, including associated technologies and research areas, building blocks and core elements, critical factors for success, and cross-cutting enablers. He introduces AIS as an “emerging interdisciplinary field that deals with situations where humans interact with AI systems… Read More »Five Principles of Safe Driving in AIS (Autonomous Intelligent Systems)
The post Five Principles of Safe Driving in AIS (Autonomous Intelligent Systems) appeared first on Data Science Central.
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We stand at the threshold of a new era of precision medicine, where health and life sciences data hold the potential to dramatically propel and expand our understanding and treatment of human disease. One of the tools that we believe will help to enable precision medicine is Terra, the secure biomedical research platform co-developed by […]
The post Biomedical Research Platform Terra Now Available on Microsoft Azure appeared first on Microsoft Research.
( 9
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Today, gaining customer loyalty cannot be a one-off thing. A brand needs a focused and integrated plan to retain its best customers—put simply, it needs a customer loyalty program. Earn and burn programs are one of the main paradigms. A typical earn and burn program rewards customers after a certain number of visits or spend. […]
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Model explainability refers to the process of relating the prediction of a machine learning (ML) model to the input feature values of an instance in humanly understandable terms. This field is often referred to as explainable artificial intelligence (XAI). Amazon SageMaker Clarify is a feature of Amazon SageMaker that enables data scientists and ML engineers […]
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In November 2022, we announced that AWS customers can generate images from text with Stable Diffusion models in Amazon SageMaker JumpStart. Today, we announce a new feature that lets you upscale images (resize images without losing quality) with Stable Diffusion models in JumpStart. An image that is low resolution, blurry, and pixelated can be converted […]
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As its name suggests, Orbital Sidekick is creating technology that acts as a buddy in outer space, keeping an eye on the globe using satellites to help keep it safe and sustainable. The San Francisco-based startup, a member of the NVIDIA Inception program, enables commercial and government users to optimize sustainable operations and security with Read article >
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Jensen Huang headlines Stockholm AI confab, Berzelius supercomputer upgraded to 94 NVIDIA DGX A100 systems.
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Hey, everyone!
I'd like to show you an experiment that we did with ChatGPT - we generated about 1000 resumes of famous people. Each resume is being generated from a single ChatGPT prompt - no human input was done to the resumes other than the prompt and it's the same prompt for every resume - the only difference is the name of the person.
Here's a preview: https://thisresumedoesnotexist.com/
I'd like to hear your thoughts as it's in a very early stage and there's a lot of work to be done.
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Announcements When AI Gets Going, the Going Gets Weird Last week, Microsoft announced its third investment in OpenAI. This time it’s a multi-billion dollar deal, with plans to harness OpenAI’s ChatGPT in Microsoft’s product lines, including Bing. I’m smiling as I’m typing because I’m still thinking about Bill Schmarzo’s lead in Part 1 of 2… Read More »DSC Weekly 24 January 2023 – When AI Gets Going, the Going Gets Weird
The post DSC Weekly 24 January 2023 – When AI Gets Going, the Going Gets Weird appeared first on Data Science Central.
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Warehouse robotics is witnessing steady growth, driven by the increasing adoption of automated solutions in storage for food and beverages, consumer goods, retail, and third-party logistics. The collaboration between the e-commerce sector and warehouse robotics is also a major driver of this market, as it allows for developing increasingly sophisticated warehouse automation systems. Additionally, the… Read More »Revolutionizing the Supply Chain: Developments in the Warehouse Robotics Industry
The post Revolutionizing the Supply Chain: Developments in the Warehouse Robotics Industry appeared first on Data Science Central.
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In Part I of the blog series “It’s No Big Deal, but ChatGPT Changes Everything”, we were introduced into the world of ChatGPT, chatbots, and generative Artificial Intelligence (AI). We ended Part I by giving ChatGPT a test run, by asking it “What would be a great vacation place for my family?” that gives us… Read More »It’s No Big Deal, but ChatGPT Changes Everything – Part II
The post It’s No Big Deal, but ChatGPT Changes Everything – Part II appeared first on Data Science Central.
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Sweden is outfitting its AI supercomputer for a journey to the cutting edge of machine learning, robotics and healthcare. It couldn’t ask for a better guide than Anders Ynnerman (above). His signature blue suit, black spectacles and gentle voice act as calm camouflage for a pioneering spirit. Early on, he showed a deep interest in Read article >
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Artist Ducky 3D creates immersive experiences through vibrant visuals and beautiful 3D environments in the alien-inspired animation Stylized Alien Landscape — this week In the NVIDIA Studio.
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Now I wrote that the bot would use the Markov Decision Process. Would that be correct? And if not why?
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Hi, I have created this tutorial on how to train yolov8 object detection model on a custom dataset. Please have a look at: https://youtu.be/ZzC3SJJifMg
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This blog contains type of joins like Inner join, Left join, Right join , Full join, Self join and Cross join.
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This blog contains Window function in SQL like (Rank, Dense_Rank, Row_Number , Lead, Lag) .
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ChatGPT, a language model developed by OpenAI, has the potential to revolutionize a wide range of industries and change the way we…
Continue reading on Becoming Human: Artificial Intelligence Magazine »
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Human resource management (HRM) is a critical aspect of any organization as it involves managing the workforce and ensuring that their…
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Who are we?
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Data Science
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Deodel is a Python implementation of a classifier with native support for mixed attributes data. It features good accuracy, especially with heterogenous attributes. It even supports mixing of continuous and nominal values in the same attribute column.
https://github.com/c4pub/deodel
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Computer scientists want to know the exact limits in our ability to clean up, and reconstruct, partly blurred images.
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Add AI to the list of defenses against identity attacks, one of the most common and hardest breach to prevent. More than 40% of all data compromises involved stolen credentials, according to the 2022 Verizon Data Breach Investigations Report. And a whopping 80% of all web application breaches involved credential abuse. “Credentials are the favorite Read article >
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For the past 500 years, the National Library of Sweden has collected virtually every word published in Swedish, from priceless medieval manuscripts to present-day pizza menus. Thanks to a centuries-old law that requires a copy of everything published in Swedish to be submitted to the library — also known as Kungliga biblioteket, or KB — Read article >
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We're happy to announce that OpenAI and Microsoft are extending our partnership.
This multi-year, multi-billion dollar investment from Microsoft follows their previous investments in 2019 and 2021, and will allow us to continue our independent research and develop AI that is increasingly safe, useful, and powerful.
In pursuit
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It’s an early version and I’m trying to get some feedback on how I can improve this and do it the “right way”.
Source Code and Results: https://github.com/prabhuomkar/bitbeast/tree/master/ptibench
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For example see,
https://gymnasium.farama.org/tutorials/training_agents/reinforce_invpend_gym_v26/
The REINFORCE algorithm takes the state to produce the mean and sd of a normal distribution from which the action is sampled.
state = torch.tensor(np.array([state])) action_means, action_stddevs = self.net(state) # create a normal distribution from the predicted # mean and standard deviation and sample an action distrib = Normal(action_means[0] + self.eps, action_stddevs[0] + self.eps) action = distrib.sample()
In deployment however, wouldn't it make sense to just use action_means directly? I can see reasons to use random sampling in certain environments where a non-deterministic strategy is optimal (like rock-paper-scissors). But generally speaking is taking the action_means directly in deployment a thing?
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Hi guys,
I have made a video on YouTube here where I discuss about why deep neural networks fail to beat tree-based models on tabular datasets.
I hope it may be of use to some of you out there. As always, feedback is more than welcomed! :)
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https://madgenius.co
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Hi all, i saw an ad for an AI service that takes my picture and change it with AI to add bokeh and change background, to make it look profesional-quality for a dating profile.
However i believe it was charging 19$ and i'm sure it could be found for free (An article mentions "BeFake", but it's only for Apple devices.?
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I'm trying to find an AI to remove watermarks from imagens like the ones below:
https://i.imgur.com/JlyfJXs.png
https://i.imgur.com/YKU3Qku.png
I already tried almost all online services, and a couple of softwares that must be installed.
The results were all terrible =[
Any suggestons?
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Hi guys,
I have made a video on YouTube here where I discuss about why deep neural networks fail to beat tree-based models on tabular datasets.
I hope it may be of use to some of you out there. As always, feedback is more than welcomed! :)
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https://github.com/google-research/tuning_playbook - Google has released a playbook (solely) about how to tune hyper-parameters of neural networks.
Disclaimer: I am unrelated to this repository, just came across it and thought it is suitable for this subreddit. I have searched through and found no posts, thus I post it to hear some comments/insights from you ;)
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https://time.com/6247678/openai-chatgpt-kenya-workers/
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We covered this in our newsletter today. Here it is verbatim-- if you find it useful, hit the link and sub: https://smokingrobot.beehiiv.com/p/ai-wars
Microsoft has dominated BIG TECH headlines over the last few months, thanks largely to a drumbeat of headlines involving their partner OpenAI and its world-shaping ChatGPT.
So awe-striking is Microsoft's hand right now, it has made rival companies' advancements, like Apple's recently announced and insanely powerful M2 MacBook Pros, look pedestrian in comparison.
But now Google has entered the chat.
And by "entered the chat", we mean that CEO Sundar Pichai - Pich-AI? - released a distressingly long 15,000-word(!) treatise on its own endeavors in AI, signaling a counter attack... maybe... at some point in the future... when and if it…
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A Good Road Map To Machine Learning enginner
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Time series forecasting is the process of using a model to predict future values of a time series based on its past values.
Continue reading on Becoming Human: Artificial Intelligence Magazine »
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This post is co-written by Christopher Diaz, Sam Kinard, Jaime Hidalgo and Daniel Suarez from CCC Intelligent Solutions. In this post, we discuss how CCC Intelligent Solutions (CCC) combined Amazon SageMaker with other AWS services to create a custom solution capable of hosting the types of complex artificial intelligence (AI) models envisioned. CCC is a […]
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Deep-learning model takes a personalized approach to assessing each patient’s risk of lung cancer based on CT scans.
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Reinforcement learning provides a conceptual framework for autonomous agents to learn from experience, analogously to how one might train a pet with treats. But practical applications of reinforcement learning are often far from natural: instead of using RL to learn through trial and error by actually attempting the desired task, typical RL applications use a separate (usually simulated) training phase. For example, AlphaGo did not learn to play Go by competing against thousands of humans, but rather by playing against itself in simulation. While this kind of simulated training is appealing for games where the rules are perfectly known, applying this to real world domains such as robotics can require a range of complex approaches, such as the use of simulated data, or instrumenting real-wo…
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Hi all!
I'd like to share an open source project that I am currently working on together with a few colleagues: DocArray!
If you've ever trained models that deal with different data types (images, text, video, audio, ...) then you know how much of a hassle it can be to keep track of all of your tensors, what shapes they have, and what data they are meant to represent.
That's what we're trying to change with DocArray, a Python library for representing, sending, and storing multi-modal data!
The core idea of DocArray is that you define Documents that represent your data. For example, one Document could hold the file path to an image, its image tensor, and and image embedding that your model creates. A different Document could do the same thing for some Text, and a third Document might co…
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🌟 Synthcity isa library for generating and benchmarking synthetic tabular data. https://github.com/vanderschaarlab/synthcity
🚀 Synthcity includes a wide range of algorithms for various use cases, such as:
- tabular data(CTGAN, TVAE, Bayesian Networks etc)
- survival analysis(SurvivalGAN etc).
- time series(Fourier Flows, TimeGAN, etc.).
- privacy-focused(DP-GAN, PATEGAN, AdsGAN, DECAF).
- domain adaptation(RadialGAN).
🔍 Synthcity supports benchmarking multiple algorithms, testing data quality, downstream performance, statistical fidelity, and privacy metrics.
🌀 Give it a try:
- Library: https://github.com/vanderschaarlab/synthcity
- Tutorial: https://colab.research.google.com/drive/1Vr2PJswgfFYBkJCm3hhVkuH-9dXnHeYV?usp=sharing
- Docs: https://synthcity.readthedocs.io/
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I am currently using the Google Cloud Model Registry and I want to learn what you use for archiving your machine learning models. What are the other options for developers who have to store hundreds of models?
https://cloud.google.com/blog/products/ai-machine-learning/vertex-ai-model-registry
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Robots are finally getting a grip. Developers have been striving to close the gap on robotic gripping for the past several years, pursuing applications for multibillion-dollar industries. Securely gripping and transferring fast-moving items on conveyor belts holds vast promise for businesses. Soft Robotics, a Bedford, Mass., startup, is harnessing NVIDIA Isaac Sim to help close Read article >
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The Ultimate upgrade begins today: GeForce NOW RTX 4080 SuperPODs are now rolling out, bringing a new level of high-performance gaming to the cloud. Ultimate members will start to see RTX 4080 performance in their region soon, and experience titles like Warhammer 40,000: Darktide, Cyberpunk 2077, The Witcher 3: Wild Hunt and more at ultimate Read article >
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https://preview.redd.it/k3ims1d6zuca1.png?width=2324&format=png&auto=webp&v=enabled&s=4f4bbe410508bdd4c45f45e55dd5c1ea0fcb5fcc
You must have heard about ChatGPT. Maybe you heard that it was trained with RLHF and PPO. Perhaps you do not really understand how that process works. Then check my Gist on Reinforcement Learning from Human Feedback (RLHF): https://gist.github.com/JoaoLages/c6f2dfd13d2484aa8bb0b2d567fbf093
No hard maths, straight to the point and simplified. Hope that it helps!
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A new experiential learning opportunity challenges undergraduates across the Greater Boston area to apply their AI skills to a range of industry projects.
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Businesses are moving towards AI Software Products. In fact, a recent study proves this claim by saying that nine out of ten companies…
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I am working with 64x64x64 voxel arrays and am running into significant problems with GPU memory management. I am using TensorFlow and have an NVIDIA GeForce RTX 4080 MSI Ventus edition with 16GB of memory (purchased using research grant funding... it's sitting in a hacked together eGPU setup lol). It performs beautifully on 32x32x32 data but I can't even get started with the larger data format. I have tried limiting GPU data utilization per process, as per this post and limiting memory growth, as per this post (Ctrl+F "second option"). I have 64GB of RAM so I can fit the data into memory (even though I know that's not efficient) and was trying to put that data in a TensorFlow Dataset object, in which, according to the docs, "iteration happens in a streaming fashion, so the full dataset do…
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A few days ago, I responded to a post on LinkedIn about how Google seems to always find a way to keep ahead of the pack, even when someone of importance leaves the company. It occurred to me that NFL teams have to adapt and remake themselves from season to season, as players and coaches… Read More »Ever-Successful vs. Never-Successful: What the NFL Has to Teach Us About Managing Agile Enterprises, Part I
The post Ever-Successful vs. Never-Successful: What the NFL Has to Teach Us About Managing Agile Enterprises, Part I appeared first on Data Science Central.
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For insights into the future of generative AI, check out the latest episode of the NVIDIA AI Podcast. Host Noah Kravitz is joined by Pat Grady and Sonya Huang, partners at Sequoia Capital, to discuss their recent essay, “Generative AI: A Creative New World.” The authors delve into the potential of generative AI to enable Read article >
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As any new mom or dad can tell you, parenting can be a challenge — packed with big worries and small hassles. But it may be about to get a little bit easier thanks to Glüxkind Technologies and their smart stroller, Ella. The company has just been named a CES 2023 Innovation Awards Honoree for Read article >
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To celebrate the upcoming Lunar New Year holiday, NVIDIA artist Zhelong Xu, aka Uncle Light, brought Chinese zodiac signs to life this week In the NVIDIA Studio — modernizing the ancient mythology in his signature style.
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Are you sure your Conversational AI solution is on the right path?
Our chatbot evaluation metrics pinpoint if your solution leveraging the best of the industry’s leading practices, meeting user expectations, and fully taking advantage of the available technology to ensure frictionless and efficient experiences.
https://masterofcode.com/chatbot-analysis-framework
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From the article:
Getty Images is suing Stability AI, creators of popular AI art tool Stable Diffusion, over alleged copyright violation.
In a press statement shared with The Verge, the stock photo company said it believes that Stability AI “unlawfully copied and processed millions of images protected by copyright” to train its software and that Getty Images has “commenced legal proceedings in the High Court of Justice in London” against the firm.
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The faster the video - the better Yolo is!
https://www.linkedin.com/posts/maltsevanton_basically-any-yolon1-vs-yolon-comparison-activity-7021021466506768384-y7Se?utm_source=share&utm_medium=member_desktop
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I made this little python package a while ago but realized I never shared it here. Maybe it's useful to you: https://github.com/bloomen/featureimpact
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Here is a podcast episode with Sugandha Sharma from MIT where we discuss how memories can be implemented, control theory, and much more!
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What to make of Deepmind’s Sparrow: Is it a sparrow or a hawk? ie a chatGPT killer Recently, Demis Hassabis from DeepMind has been urging caution (DeepMind’s CEO Helped Take AI Mainstream. Now He’s Urging Caution Time magazine/Davos) DeepMind also announced a new chat engine called Sparrow – supposedly a chatGPT killer Sparrow is not… Read More »What to make of Deepmind’s Sparrow: Is it a sparrow or a hawk?
The post What to make of Deepmind’s Sparrow: Is it a sparrow or a hawk? appeared first on Data Science Central.
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The hotel industry is competitive, and it is solely dependent on customer satisfaction. Customers are key. The hotel industry knows this and the importance of the NPS score for customer satisfaction. A better NPS score means satisfied/loyal customers. What hotels have in their control is the website user interface, menu, and providing a seamless customer… Read More »What is a Good Net Promoter Score for the Hotel/Resort Industry?
The post What is a Good Net Promoter Score for the Hotel/Resort Industry? appeared first on Data Science Central.
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By 2025, more than 80% of enterprises will shift from traditional data centers to the cloud or third-party colocation data centers. For most businesses, data is an irreplaceable asset and a key investment area for future growth. Virtual colocation is becoming the talk of how data centers are shifting to adapt to growing business environments.… Read More »7 Reasons Why Fast-Growing Businesses Are Turning to Virtual Colocation in 2023
The post 7 Reasons Why Fast-Growing Businesses Are Turning to Virtual Colocation in 2023 appeared first on Data Science Central.
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Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning (ML) partly based on JupyterLab 3. Studio provides a web-based interface to interactively perform ML development tasks required to prepare data and build, train, and deploy ML models. In Studio, you can load data, adjust ML models, move in between steps to adjust experiments, […]
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Amazon SageMaker JumpStart is the Machine Learning (ML) hub of SageMaker providing pre-trained, publicly available models for a wide range of problem types to help you get started with machine learning. Understanding customer behavior is top of mind for every business today. Gaining insights into why and how customers buy can help grow revenue. Customer churn is […]
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In their largest-ever joint AI initiative, NVIDIA and Dell Technologies today launched a wave of Dell PowerEdge systems available with NVIDIA acceleration, enabling enterprises to efficiently transform their businesses with AI. A total of 15 next-generation Dell PowerEdge systems can draw from NVIDIA’s full AI stack — including GPUs, DPUs and the NVIDIA AI Enterprise Read article >
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in this newsletter like halfway down
how long before this just turns into the Dark Knight surveillance scenario?
apparently you can use wifi antennas to track people
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Hi there! Making my first contribution to this subreddit and sharing something you probably haven't heard of (I might be wrong though :)
So, this is about AI host for Live quizzes. The AI generated avatar can run a live quiz and doesn't need any pre-made scripts or your help. Works only on Facebook Live, Youtube and Twitch.
What do you think?
https://preview.redd.it/94gb6wmc6fca1.png?width=1080&format=png&auto=webp&s=a14bfd0b1140e887d1b7c615fd0ef00e88373ce6
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Hey,
Over the past couple months, I've been collecting AI tools & generators and decided to put them into a website. The result is SaaS AI Tools, a growing collection of 400+ generative AI tools to help supercharge your creativity and take your business to the next level.
Also, to differentiate a bit - I've added another section that involves a feed of daily AI articles, so you can keep up-to-date on the top AI headlines. This is how I'm personally keeping up with all the AI stuff today. I'll be adding more tools and news sources soon.
I've launched the website on Product Hunt and would appreciate any of your support 🙏
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The legendary Tim Dettmers has updated his blog on which GPU to purchase for Deep learning to include advice for the latest GPU series:
https://timdettmers.com/2023/01/16/which-gpu-for-deep-learning/
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The Lunar Lander environment uses the box2d engine to simulate physics. I was wondering if there is code somewhere which explicitly models the environment as as state-space model?
LunarLander code: https://github.com/openai/gym/blob/master/gym/envs/box2d/lunar_lander.py
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I'm trying to solve pick&place (and possibly also the other tasks in this repository) with Franka Emika Panda manipulator simulated in Mujoco. I've tried for long with stable_baseline3 but without any results, someone told me to try with RLLib because has better implementation (?), but still I can't find any solution...
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In this blog, I have explained how you can use my library modoptima to optimize the YOLO v7 model improving the inference speed by 3-10 times on good processors.
https://medium.com/@vikasojha894/pruning-and-quantizing-yolo-v7-with-modoptima-19c61aff7301
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Hello Reddit community,
I am faced with some Finance coursework and I would appreciate any help or guidance from experienced practitioners in the ML/Finance industry.
I have a panel dataset (Data File) - that includes information such as date, stock name, market-cap, sector, and a column for the target variable which is the monthly absolute return of the stock in percentage terms (i.e one month from the date column).
I am tasked with building a predictive model to forecast the target variable.
I would like to know information on which ML model you would recommend, and why?
Thank you in advance for any help or guidance provided.
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I needed a C++ wrapper library around libsvm and liblinear using Eigen so I made one. Maybe it's useful for you as well: https://github.com/bloomen/svmegn
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Check out this medium article about how to create such an app: https://medium.com/towards-artificial-intelligence/how-to-create-an-end-2-end-text-paraphrase-app-db83a4e05918
Or check this repository about Quotera a paraphrase app to be deployed via Streamlit or FastAPI and Docker in Python: https://github.com/stavrostheocharis/quotera
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https://link.medium.com/HnMPSMA4zwb
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Hey guys, I’m the cofounder of a tech startup focused on providing free AI services.
We’ve developed a pretty cool app that offers AI services like image generation, code generation, image captioning, and more for free.
We’re sort of like a Swiss Army knife of generative and analytical AI.
We’ve released a new feature called AAIA(Ask AI Anything), which is capable of answering all types of questions, even requests to generate literature (fantasy, folklore, drama, fiction, fable, etc). It’s sort of like chat-gpt.
We’d appreciate it if you could try it out and let us know your thoughts: https://apps.apple.com/us/app/bright-eye/id1593932475
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There are incredible applications built using AI.
It is definitely a trend that the world should not ignore.
We started to maintain a collection of cool ai projects in Github: https://github.com/ai-collection/ai-collection
Our mission is to increase reach and visibility for these awesome projects!
It is updated daily and we hope that with the help of the community, it will be a great source for discovering AI applications.
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AI Weirdness: the strange side of machine learning
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This post is co-written with Jennifer Bergstrom, Sr. Technical Director, ParsonsX. Parsons Corporation (NYSE:PSN) is a leading disruptive technology company in critical infrastructure, national defense, space, intelligence, and security markets providing solutions across the globe to help make the world safer, healthier, and more connected. Parsons provides services and capabilities across cybersecurity, missile defense, space ground […]
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This post is co-written by Ramdev Wudali and Kiran Mantripragada from Thomson Reuters. In 1992, Thomson Reuters (TR) released its first AI legal research service, WIN (Westlaw Is Natural), an innovation at the time, as most search engines only supported Boolean terms and connectors. Since then, TR has achieved many more milestones as its AI […]
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This blog post is co-written with Chaoyang He and Salman Avestimehr from FedML. Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at a single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a […]
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This blog post is co-written with Chaoyang He and Salman Avestimehr from FedML. Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at any single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a […]
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These skills might not be visiable but they are important for ML and DL
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One of the biggest AI discoveries over the past year has been the importance of human feedback for building next-gen LLMs — but I still see a lot of confusion around how RLHF works at a fundamental level.
I wrote a blog to get into the details here: https://www.surgehq.ai/blog/introduction-to-reinforcement-learning-with-human-feedback-rlhf-series-part-1
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The Open Deep Learning Toolkit for Robotics version 2.0 was just released! This new version of the toolkit includes several improvements, such as new tools for object detection, efficient continual inference, tracking, emotion estimation and high-resolution pose estimation. Furthermore, this version includes a refined ROS interface, along with support for ROS2.
You can download it here: https://github.com/opendr-eu/opendr
We look forward to receiving your feedback, bug reports, and suggestions for improvements!
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Have a look at this medium article:
https://pub.towardsai.net/how-to-create-a-python-package-for-fetching-weather-data-b17614627f30
And the corresponding repository:
https://github.com/stavrostheocharis/weather_data_retriever
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New fellows are working on health records, robot control, pandemic preparedness, brain injuries, and more.
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This post was co-authored with Mark Lott, Distinguished Technical Architect, Salesforce, Inc. Enterprises that operate globally are experiencing challenges sourcing customer support professionals with multi-lingual experience. This process can be cost-prohibitive and difficult to scale, leading many enterprises to only support English for chats. Using human interpreters for translation support is expensive, and infeasible since […]
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This is guest post by Andy Whittle, Principal Platform Engineer – Application & Reliability Frameworks at The Very Group. At The Very Group, which operates digital retailer Very, security is a top priority in handling data for millions of customers. Part of how The Very Group secures and tracks business operations is through activity logging […]
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Using a pretrained AI model from NVIDIA, startup Evozyne created two proteins with significant potential in healthcare and clean energy. A joint paper released today describes the process and the biological building blocks it produced. One aims to cure a congenital disease, another is designed to consume carbon dioxide to reduce global warming. Initial results Read article >
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GFN Thursday kicks each weekend off with new games and updates straight from the cloud. This week adds more games from publisher THQ Nordic to the GeForce NOW library, as part seven total additions. Members can gear up to play these new titles the ultimate way with the upcoming release of the new Ultimate membership, Read article >
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The global retail industry has a $100 billion problem. “Shrinkage” — the loss of goods due to theft, damage and misplacement — significantly crimps retailers’ profits. An estimated 65% of shrinkage is due to theft, according to the National Retail Federation’s 2022 Retail Security Survey, conducted in partnership with the Loss Prevention Research Council. And Read article >
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Hey guys, I’m the cofounder of a tech startup focused on providing free AI services.
We’ve developed a pretty cool app that offers AI services like image generation, code generation, image captioning, and more for free. We’re sort of like a Swiss Army knife of generative and analytical AI.
In light of the chatgpt bug going on rn, check us out and stay in touch with us:
https://apps.apple.com/us/app/bright-eye/id1593932475
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In the nearest future, tens of thousands of self-driving cars may be on the roads. Big companies like BMW and Tesla continue to invest.
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Advancement in AI has shaken multiple grounds at the same time. What does it mean for designers?
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This post is co-authored by Marios Skevofylakas, Jason Ramchandani and Haykaz Aramyan from Refinitiv, An LSEG Business. Financial service providers often need to identify relevant news, analyze it, extract insights, and take actions in real time, like trading specific instruments (such as commodities, shares, funds) based on additional information or context of the news item. […]
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I am trying to implement a custom PettingZoo environment, and a shared policy with Stable Baselines 3. I am running into trouble with the action spaces not being compatible, since PettingZoo has started using gymnasium instead of gym. Does anyone know if these libraries no longer work together, and perhaps if there is a work-around?
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3D and animation extraordinaire CG Geek completed an ambitious design challenge this week In the NVIDIA Studio — building a massive, sci-fi-inspired 3D world in only three days
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OpenAI researchers collaborated with Georgetown University’s Center for Security and Emerging Technology and the Stanford Internet Observatory to investigate how large language models might be misused for disinformation purposes. The collaboration included an October 2021 workshop bringing together 30 disinformation researchers, machine learning experts, and policy analysts, and
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MIT researchers developed and studied a customized AI training program for users with varied backgrounds, which could be delivered across large organizations.
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Story here: https://www.bloomberg.com/news/articles/2023-01-10/microsoft-weighs-10-billion-chatgpt-investment-semafor-says?srnd=premium
Unpaywalled: https://archive.ph/XOOlg
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I have a set of ~100 topic categories, and I want to determine which are semantically close to a text input.
I've found several implementations, but I know some (LDA) are already obsolete. OpenAI's text-embedding-ada-002 model just came out so I'm wondering if that's the best option now.
Other topic modeling implementations:
Multi-Class Text Classification with Doc2Vec & Logistic Regression
Build taxonomy-based contextual targeting using AWS Media Intelligence and Hugging Face BERT
Topic Modeling with BERTopic
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The demand for web and app development is rising as there are significant improvements in the field of technology every year. More and more people are establishing careers in the field of development as a result of advancements in technologies and frameworks. As a result, the data from Statista says that by 2024, there will… Read More »Flexible Engagement Model to Hire Full-Stack Developers: A 2023 Guide
The post Flexible Engagement Model to Hire Full-Stack Developers: A 2023 Guide appeared first on Data Science Central.
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AI is at the heart of humanity’s most transformative innovations — from developing COVID vaccines at unprecedented speeds and diagnosing cancer to powering autonomous vehicles and understanding climate change. Virtually every industry will benefit from adopting AI, but the technology has become more resource intensive as neural networks have increased in complexity. To avoid placing Read article >
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Amazon SageMaker is a fully managed machine learning (ML) service. With SageMaker, data scientists and developers can quickly and easily build and train ML models, and then directly deploy them into a production-ready hosted environment. It provides an integrated Jupyter authoring notebook instance for easy access to your data sources for exploration and analysis, so […]
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If you’ve had the opportunity to build a search application for unstructured data (i.e., wiki, informational web sites, self-service help pages, internal documentation, etc.) using open source or commercial-off-the-shelf search engines, then you’re probably familiar with the inherent accuracy challenges involved in getting relevant search results. The intended meaning of both query and document can […]
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Improve Tortoise TTS by 30% inference speed, and packaged it up as a hosted API that charges per-second. All code is open-sourced: https://github.com/metavoicexyz/tortoise-tts-modal-api, https://github.com/metavoicexyz/tortoise-tts
It can be used via a UI on: https://tts.themetavoice.xyz
There are more details here: https://twitter.com/vatsal\_aggarwal/status/1612536547248836608?s=20
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This is the first episode of a new podcast on machine learning featuring Maarten Grootendorst.
Maarten Grootendorst: BERTopic, Data Science, Psychology | Learning from Machine Learning #1
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Introduction:
Continue reading on Becoming Human: Artificial Intelligence Magazine »
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This is part 3 of a three-part series on the Economics of Ethics. In Part I of the Economics of Ethic series, we talked about economics as a framework for the creation and distribution of society value. In Part II, we discussed the difference between financial and economic measures, the role of laws and regulations… Read More »Economics of Ethics: Is Ethics Ultimately an Economics Conversation? Part III
The post Economics of Ethics: Is Ethics Ultimately an Economics Conversation? Part III appeared first on Data Science Central.
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Back before he retired, Naval War College professor and contributor to The Atlantic Tom Nichols published a 2017 book called The Death of Expertise. Those who claim their own facts or knowledge without supporting evidence, he noted, have become more and more prominent in online conversation we’ve been having. And the noisiest and most prone… Read More »Data science and the death of (all but narrow) AI expertise in 2023
The post Data science and the death of (all but narrow) AI expertise in 2023 appeared first on Data Science Central.
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Machine learning (ML) applications are complex to deploy and often require the ability to hyper-scale, and have ultra-low latency requirements and stringent cost budgets. Use cases such as fraud detection, product recommendations, and traffic prediction are examples where milliseconds matter and are critical for business success. Strict service level agreements (SLAs) need to be met, […]
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I made a short video comparing Google to Perplexity.ai. Let me know what you think! https://youtu.be/qQi_sTmKOyk
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📄 This is a transcript from AI Test Kitchen.
👉 aitestkitchen.withgoogle.com
🗣 It records an interaction with LaMDA, an AI language model.
🛠 LaMDA is an early stage technology. It may generate inaccurate/inappropriate information.
Demo:
Imagine It v0.01
User: Imagine I'm at a Web browser and I want to use the best search engine
Model: You're at this great search engine called Duckduckgo! The colors are a vibrant green and blue. There's a little duck mascot in the corner of the page. And the sound of the search results are soft and pleasant.
User: why is it called Duckduckgo?
Model: The creators liked the idea of a search engine that didn't collect or store any of your personal data, so that's why they named it Duckduckgo!
User: what are some good things …
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Hi,
I want to play with AI and translating of audio digital data into zeros and ones and then encoding them/translating into DNA sequence (A,D,T,N) . I read a few yrs back that massive attack did that with their album: https://newatlas.com/massive-attack-mezzanine-dna-eth-zurich/54324/.
Does anyone know anything about this?
Yes, thanks, cheers
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I want to generate a smooth image-morphing video of Anime characters' faces with around 40 Custom Images. Something similar to this (images used in this is not custom images)
Can anyone guide me through the steps of how to achieve these results with StyleGan2? Or is there any better alternative?
I'm totally new to this please help!
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Hi guys,
I have made a video on YouTube here where I cover why the Adam optimizer may fail to converge on some simple optimization problems and how AMSgrad aims to solve this issue .
I hope it may be of use to some of you out there. As always, feedback is more than welcomed! :)
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Hi ! Wrote an article about AI/ML in the Anti-Money laundering industry !
https://medium.com/@melmasset/ai-and-data-in-finance-the-role-of-machine-learning-in-anti-money-laundering-1d4dd6f5bacd
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Hey guys just did my first test with deforum for a dnb music, what you think? still trying to learn the best way to make it reactive with the strength schedule..
https://youtu.be/SuGQ8xmKmGI
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after using chatgpt for a couple of weeks, ive realised how powerful it can be to help me do my job.
it's so good at what it does that the only way to not get left behind is to learn how to use the tool effectively, so i did some reasearch, some of the following are some useful tips.
this free ebook is a great introduction to understanding how to utilise chatgpt effectively for what you want it to do:
The Art of ChatGPT Prompting: A Guide to Crafting Clear and Effective Prompts
a very powerful feature of chatGPT is to configure into a mode with the "Act as" hack
i found this chrome extension that comes with a few predefined modes,
https://github.com/f/awesome-chatgpt-prompts
i ended up not boring with the extension since all the instructions for each profile are in this file:
https://github.com/f/awesome-chatgpt-prompts/blob/main/prompts.csv
ive been taking these examples and augmenting them to my needs
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The other day I came up with this interesting video made by Tensorflow and Françoise Beaufay (research scientist at Google). This article…
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Behind the scene — with scratch mathematics
Continue reading on Becoming Human: Artificial Intelligence Magazine »
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Out-of-copyright books only of course.
Hi, I was wondering if I could fine tune a GPT3 model to take a book, likely in html, markdown, or plain text, and convert it to SSML. In order to do that, I would need a bunch of SSML files already hand made, and fine tune a model based on them. Then I've got some code to split that up and do formatting: pandoc, csplit, and then I could use aws polly or one of the others to do real good text to speech.
Anyone have a dataset?
References:
https://cloud.google.com/text-to-speech/docs/ssml
https://christiantietze.de/posts/2019/12/markdown-split-by-chapter/
https://pandoc.org/demos.html
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Designing and building an intelligent conversational interface is very different than building a traditional application or website. These best practices for Amazon Lex interaction models will help you develop those new skills as you design and optimize your next bot.
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This three-part series demonstrates how to use graph neural networks (GNNs) and Amazon Neptune to generate movie recommendations using the IMDb and Box Office Mojo Movies/TV/OTT licensable data package, which provides a wide range of entertainment metadata, including over 1 billion user ratings; credits for more than 11 million cast and crew members; 9 million […]
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The recently published IDC MarketScape: Asia/Pacific (Excluding Japan) AI Life-Cycle Software Tools and Platforms 2022 Vendor Assessment positions AWS in the Leaders category. This was the first and only APEJ-specific analyst evaluation focused on AI life-cycle software from IDC. The vendors evaluated for this MarketScape offer various software tools needed to support end-to-end machine learning […]
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This post is co-written by Hesham Fahim from Thomson Reuters. Thomson Reuters (TR) is one of the world’s most trusted information organizations for businesses and professionals. It provides companies with the intelligence, technology, and human expertise they need to find trusted answers, enabling them to make better decisions more quickly. TR’s customers span across the […]
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https://www.anandtech.com/show/18721/ces-2023-amd-instinct-mi300-data-center-apu-silicon-in-hand-146b-transistors-shipping-h223
I wonder if this is the beginning of dissolution of NVIDIA's monopoly on AI.
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Computer engineering has come a long way from merely being a curriculum major to a key credential for your AI portfolio. Artificial engineering is a role that commands huge skill and expertise in the realm of technology. Unsurprisingly, the demand for their services outstrips the supply. The industry is oozing with valuable companies with diversified… Read More »AI Engineer: Learn About The Role And Skills Needed For Success In 2023
The post AI Engineer: Learn About The Role And Skills Needed For Success In 2023 appeared first on Data Science Central.
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The role-playing game “On the Plane” simulates xenophobia to foster greater understanding and reflection via virtual experiences.
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Autonomous vehicle (AV) technology is heading to the mainstream. The NVIDIA DRIVE ecosystem showcased significant milestones toward widespread intelligent transportation at CES. Growth is occurring in vehicle deployment plans as well as AI solutions integrating further into the car. Foxconn joined the NVIDIA DRIVE ecosystem. The world’s largest technology manufacturer will produce electronic control units Read article >
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GFN Thursday rings in the new year with a recap of the biggest cloud gaming news from CES 2023: the GeForce NOW Ultimate membership. Powered by the latest NVIDIA GPU technology, Ultimate members can play their favorite PC games at performance never before available from the cloud. Plus, with a new year comes new games. Read article >
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https://www.youtube.com/watch?v=DUi7v0eIPz4&lc=Ugxuw-xuUSYvVnbfjrV4AaABAg&ab_channel=ScaleAI
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At AWS we released Fortuna, a library for Uncertainty Quantification. Fortuna supports conformal prediction, Bayesian inference methods and more.
Try it out! GitHub stars are very welcome!!! ⭐⭐⭐
Github repo: https://github.com/awslabs/fortuna
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Hi,
As part of Huggingface whisper finetuning event I created a demo where you can:
Download youtube video with a given URL
2. Watch downloaded video in the first video component
3. Run automatic speech recognition on the video using Whisper models from ggerganov https://github.com/ggerganov/whisper.cpp
4. Translate the recognized transcriptions to 26 languages supported by deepL
Download generated subtitle files in .srt and .vtt formats
6. Watch the video in another video component with added subtitles
You can test it from here
--> https://huggingface.co/spaces/RASMUS/Whisper-youtube-crosslingual-subtitles <--
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Editor’s note: This is part of a series profiling people advancing science with high performance computing. Ryan Coffee makes movies of molecules. Their impacts are huge. The senior scientist at the SLAC National Accelerator Laboratory (above) says these visualizations could unlock the secrets of photosynthesis. They’ve already shown how sunlight can cause skin cancer. Long Read article >
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When NVIDIA co-founder Chris Malachowsky approached University of Florida Provost Joe Glover with the offer of an AI supercomputer, he couldn’t have predicted the transformative impact it would have on the university. In just a short time, UF has become one of the top public colleges in the U.S. and developed a groundbreaking neural network Read article >
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A new method can produce a hundredfold increase in light emissions from a type of electron-photon coupling, which is key to electron microscopes and other technologies.
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2023 UPDATE! Just published a book with 1337 use cases and around 4000 examples.
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Choose your Programming Language
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Robots celebrate holidays?
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MAgent2 is the maintained fork of the environments in https://github.com/geek-ai/MAgent, which previously were housed in PettingZoo itself but as of a few months ago was broken off into it's own project. You can check it out here: https://magent2.farama.org/ / https://github.com/Farama-Foundation/magent2
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RIFFUSION is an app for real-time music generation with stable diffusion. Riffusion is a latent text-to-image diffusion model capable of generating spectrogram images given any text input. These spectrograms can be converted into audio clips.The model was created by Seth Forsgren and Hayk Martiros as a hobby project. It employs some clever tricks by fine tuning stable diffusion on spectogram images and interploation in latent space for creating smooth transitions in generated audio clips
I have created a video explaining the concepts behind RIFFUSION. Do checkout the video: https://youtu.be/hGrtZ9rXwWk
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CLARIFICATION: NOT DAN SUI BUT I AM PROMOTING MY ARTICLE
I decided to purchase and take a gander at this new frontier of AI Art monetization.
Check it out here and let me know your thoughts! Article
Dan Sui or u/KoSuiFish famous for beautiful life-like Waifu's released a gumroad course
With works such as
- NSFW (very nsfw)
- SFW
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Social media is one of the most widely accessible online platforms people use to share their personal views and opinions and express their feelings with a few show-offs of their social life with their friends. Now it is also used for business promotions and commercial activities, to engage with users and target more customers. On… Read More »How does social media content moderation work in the United States?
The post How does social media content moderation work in the United States? appeared first on Data Science Central.
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Powerful new GeForce RTX GPUs, a new generation of hyper-efficient laptops and new Omniverse capabilities and partnerships across the automotive industry were highlights of a news-packed address ahead of this week’s CES trade show in Las Vegas. “AI will define the future of computing and this has influenced much of what we’re covering today,” said Read article >
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The latest release of NVIDIA Omniverse Enterprise, available now, brings increased performance, generational leaps in real-time RTX ray and path tracing, and streamlined workflows to help teams build connected 3D pipelines, and develop and operate large-scale, physically accurate, virtual 3D worlds like never before. Artists, designers, engineers and developers can benefit from various enhancements across Read article >
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AI is extending further into the vehicle as autonomous-driving technology becomes more prevalent. With the NVIDIA DRIVE platform, automakers can design and implement intelligent interior features to continuously surprise and delight customers. It all begins with the compute architecture. The recently introduced NVIDIA DRIVE Thor platform unifies traditionally distributed functions in vehicles — including digital Read article >
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Building state-of-the-art factories requires a state-of-the art planning system. Mercedes-Benz announced at CES that it is taking the next step in digitizing its production process, using the NVIDIA Omniverse platform to design and plan manufacturing and assembly facilities. By tapping into NVIDIA AI and metaverse technologies, the automaker can create feedback loops to reduce waste, Read article >
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Autonomous and electric vehicles are making personal transportation safer and more sustainable — as well as more entertaining. At CES today, NVIDIA announced that the NVIDIA GeForce NOW cloud gaming service will be coming to cars, with no special equipment needed. Hyundai Motor Group, BYD and Polestar — already members of the NVIDIA DRIVE ecosystem Read article >
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The future of content creation was on full display today during NVIDIA’s virtual special address at CES. Fueled by powerful NVIDIA RTX technology and backed by the NVIDIA Studio platform for creators, a creative revolution is underway as a wave of 2D artists moves to 3D, video workflows move to real time and AI tools help artists create content faster.
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Demand for intelligent robots is growing as more industries embrace automation to address supply chain challenges and labor force shortages. The installed base of industrial and commercial robots will grow more than 6.4x — from 3.1 million in 2020 to 20 million in 2030, according to ABI Research. Developing, validating and deploying these new AI-based Read article >
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Whether creating realistic digital humans that can express raw emotion or building immersive virtual worlds, those in the design, engineering, creative and other industries across the globe are reaching new heights through 3D workflows. Animators, creators and developers can use new AI-powered tools to reimagine 3D environments, simulations and the metaverse — the 3D evolution Read article >
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Hello, community!
I invite you to take a look at the live coding tutorial video on Diffusion Models
Link to the video
Content covered:
- Theoretical background
- Implementation of forward diffusion process
- Implementation of the training loop
- Overfitting to one batch
- Implementation of the reverse diffusion process
- Training on CIFAR10 dataset (with class label conditioning)
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If you’re reading this, chances are you’re curious about what Chat GPT (Generative Pre-trained Transformer) is and how it works. Maybe…
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The insurance sector is adopting new technologies at a rapid pace, with many companies implementing new technologies to improve their…
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We are a leading chatbot & enterprise software development services provider in India. We provide end to end RPA services along with AI…
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Hi,
I would like to make my own footage on some topics, but to make it more interesting to viewers, I would love to add additional video content like royalty free or some clips from YouTube.
Is there any tool that can do that for me?
So far I've found only Pictory.ai that has some of those features.
Thanks in advance
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Worth having a look at. Some great and innovative ideas.
https://www.youtube.com/watch?v=ulYbnHyg1no
Anyone has any different ideas or out of the box thinking for using AI to make some money on the side? Let me know.
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Those looking to join the ranks of AI trailblazers or chart a new course in their careers need look no further. At NVIDIA’s latest GTC conference, industry leaders in a panel called “5 Paths to a Career in AI” shared tips and insights on how to make a mark in this rapidly evolving field. Representing Read article >
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This is part 2 of a three-part series on the Economics of Ethics. In Part I of the Economics of Ethic series, we talked about economics as a framework for the creation and distribution of society value. With AI’s ability to learn and adapt billions of times faster than humans, society must get the definition… Read More »Economics of Ethics: Is Ethics Ultimately an Economics Conversation? Part II
The post Economics of Ethics: Is Ethics Ultimately an Economics Conversation? Part II appeared first on Data Science Central.
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Sponsored Post Attend the Data Science Symposium 2022 on November 8 The Center for Business Analytics at the University of Cincinnati will present its annual Data Science Symposium 2022 on November 8. This all day in-person event will have three featured speakers and two tech talk tracks with four concurrent presentations in each track. The […]
The post Attend the Data Science Symposium 2022, November 8 in Cincinnati appeared first on Machine Learning Mastery.
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